E423 Dilyan Kovachev, Director of Machine Learning and Analytics at Treasure Data

Today's guest is Dilyan Kovachev, Director of Machine Learning and Analytics at Treasure Data. Founded in 2011, Treasure Data was built to radically simplify customer data management and help brands use all of their customer data to improve campaign performance, achieve operational efficiency, and drive business value with connected customer experiences. Treasure Data helps hundreds of Fortune 500 and Global 2000 customers - including some of the world’s most recognizable brands - generate new data opportunities.

Customer Data Cloud, their award-winning suite of customer data platform solutions, integrates customer data, connects identities in unified customer profiles, applies privacy, and makes insights and predictions available for Marketing, Service, Sales and Operations to drive personalized engagement and improve customer acquisition, sales and retention. This flexible, scalable and secure platform has a comprehensive connector network that evolves with  existing technology stack to future-proof all customer data initiatives.

In the episode, Dilyan will discuss:

Treasure Data’s work within customer data,

Use cases of their focus in marketing, sales & service,

An insight into the ML and Data Science team,

The journey of building his team from scratch,

Plans for growth and the roadmap for the near future, and

What makes Treasure Data a great place to work